\begin{table}[!ht]
\caption{Whether civilian considered joining, as a function of own and father's education}
\label{} 
\begin{tabular}{ l D{.}{.}{3}D{.}{.}{3} } 
\hline 
  & \multicolumn{ 1 }{ c }{ Model 1 } & \multicolumn{ 1 }{ c }{ Model 2 } \\ \hline
 %                    & Model 1          & Model 2         \\ 
(Constant)           & 0.068            & 0.142           \\ 
                     & (0.148)          & (0.151)         \\ 
Age in 1972          & -0.019 ^{**}     & -0.020 ^{**}    \\ 
                     & (0.006)          & (0.007)         \\ 
Age in 1972 sq.      & 0.001            & 0.001           \\ 
                     & (0.001)          & (0.001)         \\ 
Subject's ed. (yrs.) & 0.012 ^\dagger  &                 \\ 
                     & (0.007)          &                 \\ 
Father's ed. (yrs.)  &                  & -0.006          \\ 
                     &                  & (0.011)          \\
 $N$                  & 459              & 459             \\ 
$R^2$                & 0.193            & 0.187           \\ 
adj. $R^2$           & 0.156            & 0.150           \\ 
Resid. sd            & 16.534           & 16.590           \\ \hline
 \multicolumn{3}{l}{\footnotesize{Weighted least squares estimates.}}\\
\multicolumn{3}{l}{\footnotesize{Standard errors account for clustering at the commune level.}}\\
\multicolumn{3}{l}{\footnotesize{(Number of clusters is 61.)}}\\
\multicolumn{3}{l}{\footnotesize{Dependent variable is whether civilian considered joining (0=no,1=yes).}}\\
\multicolumn{3}{l}{\footnotesize{All models control for pre-war province fixed effects and survival probability.}}\\
\multicolumn{3}{l}{\footnotesize{$^\dagger$ significant at $p<.10$; $^* p<.05$; $^{**} p<.01$; $^{***} p<.001$}} 
\end{tabular} 
 \end{table}
